Literature DB >> 30079252

Big data: what it can and cannot achieve.

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Abstract

This article looks at the use of large health records datasets, typically linked with other data sources, and their use in mental health research. The most comprehensive examples of this kind of big data are typically found in Scandinavian countries however there are also many useful sources in the UK. There are a number of promising methodological innovations from studies using big data in UK mental health research, including: hybrid study designs, examples of data linkage and enhanced study recruitment. It is, though, important to be aware of the limitations of research using big data, particularly the various analysis pitfalls. We therefore caution against throwing out the methodological baby with the bathwater and argue that other data sources are equally valuable and ideally research should incorporate a range of data.

Entities:  

Year:  2018        PMID: 30079252      PMCID: PMC6071851          DOI: 10.1192/bja.2018.15

Source DB:  PubMed          Journal:  BJPsych Adv        ISSN: 2056-4686


  34 in total

1.  Cohort profile: Scottish health and ethnicity linkage study of 4.65 million people exploring ethnic variations in disease in Scotland.

Authors:  Raj Bhopal; Colin Fischbacher; Christopher Povey; Jim Chalmers; Ganka Mueller; Markus Steiner; Helen Brown; David H Brewster; Narinder Bansal
Journal:  Int J Epidemiol       Date:  2010-07-24       Impact factor: 7.196

Review 2.  Data science for mental health: a UK perspective on a global challenge.

Authors:  Andrew M McIntosh; Robert Stewart; Ann John; Daniel J Smith; Katrina Davis; Cathie Sudlow; Aiden Corvin; Kristin K Nicodemus; David Kingdon; Lamiece Hassan; Matthew Hotopf; Stephen M Lawrie; Tom C Russ; John R Geddes; Miranda Wolpert; Eva Wölbert; David J Porteous
Journal:  Lancet Psychiatry       Date:  2016-10       Impact factor: 27.083

3.  Evidence of a dose-response relationship between urbanicity during upbringing and schizophrenia risk.

Authors:  C B Pedersen; P B Mortensen
Journal:  Arch Gen Psychiatry       Date:  2001-11

4.  Changes in rates of recorded depression in English primary care 2003-2013: Time trend analyses of effects of the economic recession, and the GP contract quality outcomes framework (QOF).

Authors:  Tony Kendrick; Beth Stuart; Colin Newell; Adam W A Geraghty; Michael Moore
Journal:  J Affect Disord       Date:  2015-04-04       Impact factor: 4.839

Review 5.  Register-based studies on migration, ethnicity, and health.

Authors:  Marie Norredam; Marianne Kastrup; Karin Helweg-Larsen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

6.  Recent trends in the incidence of recorded depression in primary care.

Authors:  Greta Rait; Kate Walters; Mark Griffin; Marta Buszewicz; Irene Petersen; Irwin Nazareth
Journal:  Br J Psychiatry       Date:  2009-12       Impact factor: 9.319

7.  Developing a new model for patient recruitment in mental health services: a cohort study using Electronic Health Records.

Authors:  Felicity Callard; Matthew Broadbent; Mike Denis; Matthew Hotopf; Murat Soncul; Til Wykes; Simon Lovestone; Robert Stewart
Journal:  BMJ Open       Date:  2014-12-02       Impact factor: 2.692

8.  Linking health and education data to plan and evaluate services for children.

Authors:  Johnny Downs; Ruth Gilbert; Richard D Hayes; Matthew Hotopf; Tamsin Ford
Journal:  Arch Dis Child       Date:  2017-01-27       Impact factor: 3.791

9.  Ethnicity and excess mortality in severe mental illness: a cohort study.

Authors:  Jayati Das-Munshi; Chin-Kuo Chang; Rina Dutta; Craig Morgan; James Nazroo; Robert Stewart; Martin J Prince
Journal:  Lancet Psychiatry       Date:  2017-03-16       Impact factor: 27.083

10.  Cardiovascular disease treatment among patients with severe mental illness: a data linkage study between primary and secondary care.

Authors:  Charlotte Woodhead; Mark Ashworth; Matthew Broadbent; Felicity Callard; Matthew Hotopf; Peter Schofield; Murat Soncul; Robert J Stewart; Max J Henderson
Journal:  Br J Gen Pract       Date:  2016-04-25       Impact factor: 5.386

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  2 in total

1.  Detecting the Information of Functional Connectivity Networks in Normal Aging Using Deep Learning From a Big Data Perspective.

Authors:  Xin Wen; Li Dong; Junjie Chen; Jie Xiang; Jie Yang; Hechun Li; Xiaobo Liu; Cheng Luo; Dezhong Yao
Journal:  Front Neurosci       Date:  2020-01-17       Impact factor: 4.677

2.  Text mining occupations from the mental health electronic health record: a natural language processing approach using records from the Clinical Record Interactive Search (CRIS) platform in south London, UK.

Authors:  Natasha Chilman; Xingyi Song; Angus Roberts; Esther Tolani; Robert Stewart; Zoe Chui; Karen Birnie; Lisa Harber-Aschan; Billy Gazard; David Chandran; Jyoti Sanyal; Stephani Hatch; Anna Kolliakou; Jayati Das-Munshi
Journal:  BMJ Open       Date:  2021-03-25       Impact factor: 2.692

  2 in total

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